Assessment of Psychosocial and Neonatal Risk Factors for Trajectories of Behavioral Dysregulation Among Young Children From 18 to 72 Months of Age
Authors: Julie A. Hofheimer, Monica McGrath, Rashelle Musci, Guojing Wu, Sarah Polk, Courtney K. Blackwell, Annemarie Stroustrup, Robert D. Annett, Judy Aschner, Brian S. Carter, Jennifer Check, Elisabeth Conradt, Lisa A. Croen, Anne L. Dunlop, Amy J. Elliott, Andrew Law, Leslie D. Leve, Jenae M. Neiderhiser, T. Michael O’Shea, Amy L. Salisbury, Sheela Sathyanarayana, Rachana Singh, Lynne M. Smith, Andréa Aguiar, Jyoti Angal, Hannah Carliner, Cindy McEvoy, Steven J. Ondersma, Barry Lester, Phillip B Smith, Laura K Newby, Lisa P Jacobson, Diane J Catellier, Richard C Gershon, David Cella, Susan L Teitelbaum, Annemarie Stroustrup, Andrea L Lampland, Mark L Hudak, Dennis E Mayock, Lisa K Washburn, Cristiane Duarte, Glorisa J Canino, Assiamira M Ferrara, Caherine J Karr, Alex Mason, Carmen J Marsit, Steven L Pastyrnak, Charles Neal, Brian S Carter, Jennifer B Helderman, Jody M Ganiban, Thomas G O'Connor, Hyagriv Simhan, Jean Kerver, Charles Barone, Patricia McKane, Nigel Paneth, Michael R Elliott, Susan L Schantz, Robert M Silver, Rosalind J Wright, Michelle Bosquet-Enlow, Joanna A Maselko
Journal: JAMA Network Open (2023)

Importance Emotional and behavioral dysregulation during early childhood are associated with severe psychiatric, behavioral, and cognitive disorders through adulthood. Identifying the earliest antecedents of persisting emotional and behavioral dysregulation can inform risk detection practices and targeted interventions to promote adaptive developmental trajectories among at-risk children. Objective To characterize children’s emotional and behavioral regulation trajectories and examine risk factors associated with persisting dysregulation across early childhood. Design, Setting, and Participants This cohort study examined data from 20 United States cohorts participating in Environmental influences on Child Health Outcomes, which included 3934 mother-child pairs (singleton births) from 1990 to 2019. Statistical analysis was performed from January to August 2022. Exposures Standardized self-reports and medical data ascertained maternal, child, and environmental characteristics, including prenatal substance exposures, preterm birth, and multiple psychosocial adversities. Main Outcomes and Measures Child Behavior Checklist caregiver reports at 18 to 72 months of age, with Dysregulation Profile (CBCL-DP = sum of anxiety/depression, attention, and aggression). Results The sample included 3934 mother-child pairs studied at 18 to 72 months. Among the mothers, 718 (18.7%) were Hispanic, 275 (7.2%) were non-Hispanic Asian, 1220 (31.8%) were non-Hispanic Black, 1412 (36.9%) were non-Hispanic White; 3501 (89.7%) were at least 21 years of age at delivery. Among the children, 2093 (53.2%) were male, 1178 of 2143 with Psychosocial Adversity Index [PAI] data (55.0%) experienced multiple psychosocial adversities, 1148 (29.2%) were exposed prenatally to at least 1 psychoactive substance, and 3066 (80.2%) were term-born (≥37 weeks’ gestation). Growth mixture modeling characterized a 3-class CBCL-DP trajectory model: high and increasing (2.3% [n = 89]), borderline and stable (12.3% [n = 479]), and low and decreasing (85.6% [n = 3366]). Children in high and borderline dysregulation trajectories had more prevalent maternal psychological challenges (29.4%-50.0%). Multinomial logistic regression analyses indicated that children born preterm were more likely to be in the high dysregulation trajectory (adjusted odds ratio [aOR], 2.76; 95% CI, 2.08-3.65; P &amp;amp;lt; .001) or borderline dysregulation trajectory (aOR, 1.36; 95% CI, 1.06-1.76; P = .02) vs low dysregulation trajectory. High vs low dysregulation trajectories were less prevalent for girls compared with boys (aOR, 0.60; 95% CI, 0.36-1.01; P = .05) and children with lower PAI (aOR, 1.94; 95% CI, 1.51-2.49; P &amp;amp;lt; .001). Combined increases in PAI and prenatal substance exposures were associated with increased odds of high vs borderline dysregulation (aOR, 1.28; 95% CI, 1.08-1.53; P = .006) and decreased odds of low vs high dysregulation (aOR, 0.77; 95% CI, 0.64-0.92; P = .005). Conclusions and Relevance In this cohort study of behavioral dysregulation trajectories, associations were found with early risk factors. These findings may inform screening and diagnostic practices for addressing observed precursors of persisting dysregulation as they emerge among at-risk children.